The chatbot could help by picking up on clues in a spontaneous speech.
According to research from Drexel University's School of Biomedical Engineering, Science, and Health Systems, the GPT-3 algorithm from OpenAI can pick up on clues in a spontaneous speech that can predict the early stages of dementia 80% of the time.is the latest in a series of efforts to show the value of natural language processing tools for the early detection and prediction of Alzheimer's.
On the other hand, GPT-3 has had enough training to understand the reference and change it to get the desired result. The program was subsequently retrained using the embedding, becoming an instrument for diagnosing Alzheimer's. To test it, scientists gave the program access to the dataset. They asked it to evaluate dozens of transcripts and determine whether or not each was written by an individual with or developing Alzheimer's.
The accuracy of the GPT-3 prediction was then compared to that of an analysis that predicted the MMSE score based only on the voice strength, pauses, and slurring of the recordings. When predicting patients' MMSE scores, GPT-3 was revealed to be about 20% more accurate.
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